Microsoft Azure Databricks for Data Engineering

Course Overview

Skills and Knowledge Acquired:
By taking this course, you will acquire the following skills and knowledge:

- Understanding of the capabilities of Azure Databricks and the Apache Spark notebook for processing huge files
- Knowledge of the architecture of an Azure Databricks Spark Cluster and Spark Jobs
- Ability to work with large amounts of data from multiple sources in different raw formats
- Understanding of how Azure Databricks supports day-to-day data-handling functions such as reads, writes, and queries
- Knowledge of cloud fundamentals
- General knowledge of IT architecture
- Expertise in designing and implementing data solutions that use Microsoft Azure data services.


Contribution to Professional Growth:
Microsoft Azure Databricks for Data Engineering provides IT professionals with the knowledge and skills necessary to become an Azure Data Engineer. It also prepares them for the Microsoft DP-203 exam, which is an opportunity to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services. Through this course, IT professionals will gain an understanding of the capabilities of Azure Databricks and Apache Spark, as well as the architecture of an Azure Databricks Spark Cluster and Spark Jobs. They will also learn how to process large files, read, write, and query data from multiple sources, and use Azure Databricks to handle day-to-day data-handling functions. By taking this course, IT professionals will be able to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services, which will contribute to their professional growth.


Suitability for Further Education:
Microsoft Azure Databricks for Data Engineering is suitable for preparing further education, particularly for those IT professionals who are preparing for Microsoft's DP-203 exam. The course covers the key skills measured by the exam, and provides the necessary knowledge and expertise in designing and implementing data solutions that use Microsoft Azure data services. It is also beneficial for those who have general knowledge of IT architecture and cloud fundamentals.